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Universal Time-Series Forecasting with Mixture Predictors - SpringerBriefs in Computer Science Daniil Ryabko 1st ed. 2020 edition
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Universal Time-Series Forecasting with Mixture Predictors - SpringerBriefs in Computer Science
Daniil Ryabko
The author considers the problem of sequential probability forecasting in the most general setting, where the observed data may exhibit an arbitrary form of stochastic dependence.
85 pages, 1 Illustrations, black and white; VIII, 85 p. 1 illus.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | September 27, 2020 |
| ISBN13 | 9783030543037 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 85 |
| Dimensions | 150 × 220 × 10 mm · 454 g |
| Language | German |
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